Instructions to use hf-internal-testing/tiny-random-m2m_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-m2m_100 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-m2m_100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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revert max_position_embeddings as some weights depend on it.
bd7eedd -
update max_position_embeddings and layerdrop probabilities
3b3cd4a
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v3
b24ccc7
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v2 update
dcf8c8a
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Add model and configuration.
534d3a9 -
initial commit
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